Anthropic is a public benefit corporation dedicated to building safe, interpretable, and steerable AI systems. They are seeking a Research Engineer for their Pretraining team to develop the next generation of large language models, bridging cutting‑edge research with practical engineering.
Research Engineer, Pretraining en Anthropic
Híbrido - London, UK
Más vacantes en AnthropicSalary
GBP 260,000 - 630,000
Requirements
Skills
- Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
- Strong software engineering skills with a proven track record of building complex systems
- Expertise in Python and experience with deep learning frameworks (PyTorch preferred)
- Familiarity with large‑scale machine learning, particularly in the context of language models
- Ability to balance research goals with practical engineering constraints
- Strong problem‑solving skills and a results‑oriented mindset
- Excellent communication skills and ability to work in a collaborative environment
- Care about the societal impacts of your work
- Work on high‑performance, large‑scale ML systems
- Familiarity with GPUs, Kubernetes, and OS internals
- Experience with language modeling using transformer architectures
- Knowledge of reinforcement learning techniques
- Background in large‑scale ETL processes
Responsibilities
- Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
- Independently lead small research projects while collaborating with team members on larger initiatives
- Design, run, and analyze scientific experiments to advance understanding of large language models
- Optimize and scale training infrastructure to improve efficiency and reliability
- Develop and improve dev tooling to enhance team productivity
- Contribute to the entire stack, from low‑level optimizations to high‑level model design
Technologies
PythonPyTorchTransformer architecturesGPUsKubernetesOS internalsReinforcement learningLarge‑scale ETL processes
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